Visual Inspection Application of Substation Based on Internet of Things. (June 2020)

• Record Type: Journal Article
• Authors: Yin, Yu; Gu, Chen
• Is Part Of: Journal of physics. Volume 1574(2020)
• Publication Date: 2020-06
• Subjects: Internet of Things Technology -- Substation Inspection -- Visual Inspection Application -- Intelligent Robot; Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1574/1/012115
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: After the Internet, the Internet of Things has become another innovative technology in recent years. In recent years, the Internet of Things technology has been applied to various industries, such as agricultural production, intelligent transportation, industrial production, etc., which also includes visual inspection of substations operating system. In the implementation of the Internet of Things visual inspection application system of the substation, the wireless data collection of the substation is a key part of the entire system. The system needs to use advanced wireless sensing technology, remote data transmission technology, Internet technology and other key technologies of the Internet of Things. Since the patrol inspection of substations in the domestic power system is still dominated by manual patrol inspection, due to the high intensity of the patrol inspection and the harsh operating environment, the work efficiency is insufficient. This article starts from the needs of the Internet of Things- based substation visual inspection application, integrates autonomous robots, sensor fusion technology, visual recognition technology and GPS positioning technology, builds a 24/7, all-round autonomous inspection visualization system, and initially achieves substation autonomy Patrol function. Secondly, it analyzes the principles of the autonomous robot inspection and visualization system, expounds infrared information collection and alarm functions, and analyzes a series of functions from information visualization and recognition to background operations. The research results show that the autonomous robot inspection visualization system can improve the inspection efficiency of the power station by more than 85%, and effectively reduce the strength and risk of workers.